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Jayesh Gadewar
Milestone (age 23)
Co-founded Scrut Automation in late 2021 at age 23, raised $3.1M from Lightspeed Venture Partners and Endiya Partners, and grew to 200 enterprise customers and 70 engineers by age 25; named to Forbes India 30 Under 30 2023.
Born in Mumbai, India. Started his first tech business at age 13 — MHMGaming, a gaming server portal offering hosting for games like Counter-Strike, where he handled system setup, Linux servers, and hardware management. Earned a Bachelor of Engineering in Computer Science from Mumbai University. Interned at Neuralbits Technologies (2018), co-founded Gomigo (an accounting tool for small businesses), and then co-founded Scrut Automation in late 2021 with Aayush Ghosh Choudhury and Kush Kaushik.
Think your path resembles Jayesh Gadewar's?Compare the visible ingredients, then see exactly where the comparison stops working.
Am I the next Jayesh Gadewar? →Starting point
Born in Mumbai, Maharashtra, India; started first tech business (gaming server hosting) at age 13 with friends; parents' professions not documented.
Current position (2025)
Co-founder and CTO of Scrut Automation; 70 engineers; 200 enterprise customers across US, EU, and APAC; Forbes India 30 Under 30 2023.
How this path compounded
01 Starting advantages
8/24 starting-position score
Strongest documented signals: Exceptional peer / cofounder, Direct domain exposure, Elite institution pipeline.
Describes the starting position, not what the person later made of it.
Cohort percentile: 72
02 Built or converted leverage
14/25 multiplying-capacity score
Strongest observed levers:Complementary team, Domain proximity, Started serious reps before 20.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Cohort percentile: 72
03 Compounding trajectory
5 documented steps
The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.
Milestone at age 23
04 Observed career standing
T4 · Specialist-known
Notable, but primarily known within a niche. The tier summarizes documented career recognition through the data cutoff—not Jayesh Gadewar's worth or future potential.
Question four · where did the leverage come from?
Jayesh Gadewar's leverage provenance
Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.
Started serious reps before 201/1
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Rare early tools (1/2)Elite institution pipeline (1/2)Early online platform (1/2)
Complementary team2/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Exceptional peer / cofounder (2/2)Elite institution pipeline (1/2)Early online platform (1/2)
Domain proximity2/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Direct domain exposure (2/2)Frontier geography (1/2)Elite institution pipeline (1/2)
Prior reps2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Rare early tools (1/2)Elite institution pipeline (1/2)Early online platform (1/2)
Scarce skill depth2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Rare early tools (1/2)Elite institution pipeline (1/2)Early online platform (1/2)
Structural wave / timing2/3
Externalmedium confidence
A structural wave is external to the person, even when their position improved access to it.
Frontier geography (1/2)Early online platform (1/2)
Concentration intensity2/3
Unresolvedlow confidence
No current annotation distinguishes self-built, enabled, or earned origins for this lever.
No decisive linked signal
Elite ecosystem network1/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)Frontier geography (1/2)Exceptional peer / cofounder (2/2)
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Jayesh Gadewar's outcome attributable to any origin.
Luck is not a leftover score.Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.
Within Founders / operators, Jayesh Gadewar's starting-advantage total is at the 72th percentile. Separately, their built or converted leverage total is at the 72th percentile. Other T4 profiles average 5.7 / 24 starting advantage and 10.3 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
- 2011 · age 13
Co-founded MHMGaming, a gaming server portal offering hosting
For Counter-Strike and other games; managed Linux servers and hardware.
- 2018 · age 20
Software engineering internship
Neuralbits Technologies while studying at Mumbai University.
- 2020 · age 22
Co-founded Gomigo, a simple accounting tool for small businesses
Ran for ~11 months before shutting down.
- 2021 · age 23
Co-founded Scrut Automation (Riversys Technologies)
Aayush Ghosh Choudhury and Kush Kaushik; raised $3.1M from Lightspeed and Endiya Partners.
- 2023 · age 25
Named to Forbes India 30 Under 30 2023
Scrut grown to 70 engineers and 200 enterprise customers.
Primary leverage engine
Early technical reps
Early specialization / prior reps
Secondary engine
Product / domain insight
Built/converted leverage
14 / 25
evidence: Medium
Built or converted leverage
Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Started serious reps before 20
1/1
Elite ecosystem network
1/3
Structural wave / timing
2/3
Concentration intensity
2/3
Starting-advantage scores (0–2 each)
Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."
Family financial platform
0/2
Parent / family domain
0/2
Inherited audience / network
0/2
Elite institution pipeline
1/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
2/2
Direct domain exposure
2/2
Prodigy / innate ability
0/2
Adversity / constraint catalyst
0/2
Family context
Born in Mumbai, Maharashtra, India. Parents' names and professions not documented in reviewed sources. Started a gaming server business at 13 with friends, indicating early technical curiosity and self-driven entrepreneurship.
Parent / family domain
Not documented in reviewed sources. Early tech business at 13 suggests self-driven interest rather than family domain transfer.
Archetype & tags
Self-created domain repetitiongaming server business at 13Linux/server managementMumbai University engineeringco-founder teamGRC compliance domainLightspeed backing
Evidence summary
Jayesh Gadewar started his first tech business at age 13, running a gaming server portal (MHMGaming) for titles like Counter-Strike, where he managed Linux servers and hardware. This early technical self-education gave him deep systems experience before university. After earning an engineering degree from Mumbai University and a brief internship at Neuralbits Technologies, he co-founded Gomigo (accounting tool) and then Scrut Automation in late 2021 with two co-founders. The idea emerged from building internal compliance automations at a previous venture. Scrut raised $3.1M from Lightspeed and grew to 200 enterprise customers. Family background details are not documented in reviewed sources.
advantage confidence: Medium · source count: 4 · audit: not_independently_audited · status: subagent_researched_beta
Sources
Related — same primary engine